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Jacob Abernethy

Jacob Abernethy is an Assistant Professor in the EECS Department at the University of Michigan, Ann Arbor. He finished his PhD in Computer Science at the UC Berkeley, and was a Simons postdoctoral fellow at the University of Pennsylvania. Jake's primary interest is in Machine Learning, and he likes discovering connections among Optimization, Statistics, and Economics.